Development of a nitrous oxide routine for the SWAT model to assess greenhouse gas emissions from agroecosystems
Environmental modelling & software, 2017•Elsevier
Greenhouse gas (GHG) emissions from agroecosystems, particularly nitrous oxide (N 2 O),
are an increasing concern. To quantify N 2 O emissions from agroecosystems, which occur
as a result of nitrogen (N) cycling, a new physically-based routine was developed for the Soil
and Water Assessment Tool (SWAT) model to predict N 2 O flux during denitrification and an
existing nitrification routine was modified to capture N 2 O flux during this process. The new
routines predict N 2 O emissions by coupling the carbon (C) and N cycles with soil …
are an increasing concern. To quantify N 2 O emissions from agroecosystems, which occur
as a result of nitrogen (N) cycling, a new physically-based routine was developed for the Soil
and Water Assessment Tool (SWAT) model to predict N 2 O flux during denitrification and an
existing nitrification routine was modified to capture N 2 O flux during this process. The new
routines predict N 2 O emissions by coupling the carbon (C) and N cycles with soil …
Abstract
Greenhouse gas (GHG) emissions from agroecosystems, particularly nitrous oxide (N2O), are an increasing concern. To quantify N2O emissions from agroecosystems, which occur as a result of nitrogen (N) cycling, a new physically-based routine was developed for the Soil and Water Assessment Tool (SWAT) model to predict N2O flux during denitrification and an existing nitrification routine was modified to capture N2O flux during this process. The new routines predict N2O emissions by coupling the carbon (C) and N cycles with soil moisture/temperature and pH in SWAT. The model uses reduction functions to predict total denitrification (N2+ N2O) and partitions N2 from N2O using a ratio method. The modified SWAT nitrification routine likewise predicts N2O emissions using reduction functions. The new denitrification routine and modified nitrification routine were tested using GRACEnet data at University Park, Pennsylvania, and West Lafayette, Indiana. Results showed strong correlations between plot measurements of N2O flux and the model predictions for both test sites and suggest that N2O emissions are particularly sensitive to soil pH and soil N, and moderately sensitive to soil temperature/moisture and total soil C levels.
Elsevier
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